一句话:作者基于从学术界到工业界五年的亲身经历,反思软件测试研究成果在工业实践中的低采用率及成因。
本文关注软件工程尤其是软件测试领域的学术研究成果对工业实践的实际影响。作者以自身从博士、博后研究转向两家公司五年工程师工作的经历为基础,回顾日常开发与测试中真正可用的学术工具,指出除 FindBugs 外,验证与确认领域的学术成果采用非常有限。文章首先讨论实际使用的 JaCoCo、Selenium 等工具,然后总结工业中遇到的环境模拟器、单元测试和 Web 测试等开放问题,并对比 UML、回归测试和变异测试等学术热点,分析其为何缺乏工业影响。基于这些经验,作者提出改进建议,尤其涉及学术评价方式以及更多参与开源项目。
What is the impact of software engineering research on current practices in industry? In this paper, I report on my direct experience as a PhD/post-doc working in software engineering research projects, and then spending the following five years as an engineer in two different companies (the first one being the same I worked in collaboration with during my post-doc). Given a background in software engineering research, what cutting-edge techniques and tools from academia did I use in my daily work when developing and testing the systems of these companies? Regarding validation and verification (my main area of research), the answer is rather short: as far as I can tell, only FindBugs. In this paper, I report on why this was the case, and discuss all the challenging, complex open problems we face in industry and which somehow are "neglected" in the academic circles. In particular, I will first discuss what actual tools I could use in my daily work, such as JaCoCo and Selenium. Then, I will discuss the main open problems I faced, particularly related to environment simulators, unit and web testing. After that, popular topics in academia are presented, such as UML, regression and mutation testing. Their lack of impact on the type of projects I worked on in industry is then discussed. Finally, from this industrial experience, I provide my opinions about how this situation can be improved, in particular related to how academics are evaluated, and advocate for a greater involvement into open-source projects.
DOI 原文 ·
@inproceedings{paperbot4508,
title = {Journal first presentation of an experience report on applying software testing academic results in industry},
author = {Andre Arcuri},
booktitle = {ICSE},
year = {2018},
doi = {10.1145/3180155.3182555}
}